Abstract
A tone signal recognition method based on eigenvalue decomposition was proposed in order to distinguish the tone signal from the modulation signals. The recognition of a tone signal was transformed into the problem of signal detection in complex Gauss white noise through converting the passband signal to the baseband signal. And based on the eigenvalue distribution of the covariance matrix, the decision variable was defined and the decision rule was constructed. Simulation results show that the method is effective.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Wang, J., Yin, X., Li, B. (2012). Recognition of Tone Signal Based on Eigenvalue Decomposition. In: Zhang, Y. (eds) Future Wireless Networks and Information Systems. Lecture Notes in Electrical Engineering, vol 143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27323-0_1
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DOI: https://doi.org/10.1007/978-3-642-27323-0_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27322-3
Online ISBN: 978-3-642-27323-0
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